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Install docker with nvidia support

Create boot able disk from image

#docker   #nvidia  

Table of Content

Prerequisite

Install nvidia driver on host machine

  • Install docker follow digitalocean
  • Install nvidia-container-toolkit
  • Check

Install#

nvidia-container-toolkit#

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
# key
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
# apt
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
# install
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit

Note

nvidia-docker.list point to ubuntu 18.04

Checking#

first run
docker run --gpus all nvidia/cuda:10.0-base nvidia-smi
Unable to find image 'nvidia/cuda:10.0-base' locally
10.0-base: Pulling from nvidia/cuda
25fa05cd42bd: Pull complete 
2d6e353a95ec: Pull complete 
df0051b6f25d: Pull complete 
ad1e3e71b0c0: Pull complete 
d26e14de793e: Pull complete 
Digest: sha256:2f608ac9f6c6a9abb34112ccd85058877f669d4c976d7e3fc1c7cafcf5ef7dff
Status: Downloaded newer image for nvidia/cuda:10.0-base
Fri Jun  3 05:56:41 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.73.05    Driver Version: 510.73.05    CUDA Version: 11.6     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:58:00.0 Off |                  N/A |
| N/A   46C    P0    N/A /  N/A |      9MiB /  2048MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+

Note

--gps all arg in docker run command

gui#

xhost +local:docker
docker run --gpus all -it \
    -e DISPLAY=$DISPLAY \
    -v /tmp/.X11-unix:/tmp/.X11-unix \
    nathzi1505:darknet bash

Reference#